Pandas Profiling Report

Dataset statistics

Number of variables	27
Number of observations	43
Missing cells	87
Missing cells (%)	7.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.1 KiB
Average record size in memory	121.1 B

Variable types

DateTime	1
Categorical	3
Numeric	23

Alerts

`Mood_num` is highly correlated with `Mood_bin_num` and 1 other fields	High correlation
`Mood_bin_num` is highly correlated with `Mood_num` and 1 other fields	High correlation
`Friends` is highly correlated with `Mood_num` and 1 other fields	High correlation
`Sleepiness` is highly correlated with `Sleepiness7DayRollingMean`	High correlation
`Sleepiness7DayRollingMean` is highly correlated with `Sleepiness`	High correlation
`Mood_num` is highly correlated with `Mood_bin_num` and 1 other fields	High correlation
`Mood_bin_num` is highly correlated with `Mood_num` and 1 other fields	High correlation
`Friends` is highly correlated with `Mood_num` and 1 other fields	High correlation
`NightOut` is highly correlated with `AlcoholDrinks`	High correlation
`AlcoholDrinks` is highly correlated with `NightOut`	High correlation
`Sleepiness` is highly correlated with `Sleepiness7DayRollingMean`	High correlation
`Sleepiness7DayRollingMean` is highly correlated with `Sleepiness`	High correlation
`Mood_num` is highly correlated with `Mood_bin_num` and 1 other fields	High correlation
`Mood_bin_num` is highly correlated with `Mood_num` and 1 other fields	High correlation
`Friends` is highly correlated with `Mood_num` and 1 other fields	High correlation
`Mood` is highly correlated with `Mood_bin`	High correlation
`Mood_bin` is highly correlated with `Mood`	High correlation
`Date` is highly correlated with `Mood` and 25 other fields	High correlation
`Mood` is highly correlated with `Date` and 5 other fields	High correlation
`Mood_num` is highly correlated with `Date` and 5 other fields	High correlation
`Mood_bin` is highly correlated with `Date` and 4 other fields	High correlation
`Mood_bin_num` is highly correlated with `Date` and 4 other fields	High correlation
`Time` is highly correlated with `Date` and 5 other fields	High correlation
`Day` is highly correlated with `Date` and 1 other fields	High correlation
`Entertainment` is highly correlated with `Date` and 1 other fields	High correlation
`Exercise` is highly correlated with `Date`	High correlation
`Family` is highly correlated with `Date` and 1 other fields	High correlation
`Food` is highly correlated with `Date`	High correlation
`Friends` is highly correlated with `Date` and 5 other fields	High correlation
`Hobby` is highly correlated with `Date` and 2 other fields	High correlation
`Love` is highly correlated with `Date`	High correlation
`NightOut` is highly correlated with `Date` and 2 other fields	High correlation
`Projects` is highly correlated with `Date`	High correlation
`School` is highly correlated with `Date` and 1 other fields	High correlation
`SelfCare` is highly correlated with `Date`	High correlation
`Sleep` is highly correlated with `Date` and 2 other fields	High correlation
`CaffeineCups` is highly correlated with `Date` and 1 other fields	High correlation
`AlcoholDrinks` is highly correlated with `Date` and 3 other fields	High correlation
`Stress` is highly correlated with `Date` and 2 other fields	High correlation
`Sleepiness` is highly correlated with `Date` and 5 other fields	High correlation
`PreviousNightMood` is highly correlated with `Date` and 2 other fields	High correlation
`Stress7DayRollingMean` is highly correlated with `Date` and 7 other fields	High correlation
`Sleepiness7DayRollingMean` is highly correlated with `Date` and 4 other fields	High correlation
`AtHome` is highly correlated with `Date` and 2 other fields	High correlation
`CaffeineCups` has 11 (25.6%) missing values	Missing
`AlcoholDrinks` has 11 (25.6%) missing values	Missing
`Stress` has 11 (25.6%) missing values	Missing
`Sleepiness` has 11 (25.6%) missing values	Missing
`PreviousNightMood` has 20 (46.5%) missing values	Missing
`Stress7DayRollingMean` has 11 (25.6%) missing values	Missing
`Sleepiness7DayRollingMean` has 11 (25.6%) missing values	Missing
`AtHome` has 1 (2.3%) missing values	Missing
`Day` is uniformly distributed	Uniform
`Date` has unique values	Unique
`Mood_num` has 3 (7.0%) zeros	Zeros
`Mood_bin_num` has 17 (39.5%) zeros	Zeros
`Entertainment` has 42 (97.7%) zeros	Zeros
`Exercise` has 33 (76.7%) zeros	Zeros
`Family` has 33 (76.7%) zeros	Zeros
`Food` has 37 (86.0%) zeros	Zeros
`Friends` has 22 (51.2%) zeros	Zeros
`Hobby` has 40 (93.0%) zeros	Zeros
`Love` has 34 (79.1%) zeros	Zeros
`NightOut` has 41 (95.3%) zeros	Zeros
`Projects` has 31 (72.1%) zeros	Zeros
`School` has 16 (37.2%) zeros	Zeros
`SelfCare` has 40 (93.0%) zeros	Zeros
`Sleep` has 37 (86.0%) zeros	Zeros
`CaffeineCups` has 28 (65.1%) zeros	Zeros
`AlcoholDrinks` has 28 (65.1%) zeros	Zeros
`Stress` has 2 (4.7%) zeros	Zeros
`AtHome` has 35 (81.4%) zeros	Zeros

Reproduction

Analysis started	2022-11-25 21:27:39.100407
Analysis finished	2022-11-25 21:28:54.233607
Duration	1 minute and 15.13 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Date
Date

HIGH CORRELATION
UNIQUE

Distinct	43
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	688.0 B

Minimum	2022-09-30 00:00:00
Maximum	2022-11-11 00:00:00

Histogram

Histogram with fixed size bins (bins=43)

Mood
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	11.6%
Missing	0
Missing (%)	0.0%
Memory size	599.0 B

Good	20
Okay	10
Terrific	6
Bad	4
Terrible	3

Length

Max length	8
Median length	4
Mean length	4.744186047
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Okay
3rd row	Bad
4th row	Terrific
5th row	Terrific

Common Values

Value	Count	Frequency (%)
Good	20	46.5%
Okay	10	23.3%
Terrific	6	14.0%
Bad	4	9.3%
Terrible	3	7.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
good	20	46.5%
okay	10	23.3%
terrific	6	14.0%
bad	4	9.3%
terrible	3	7.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Mood_num
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	5
Distinct (%)	11.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.511627907

Minimum	0
Maximum	4
Zeros	3
Zeros (%)	7.0%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0.1
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.077300264
Coefficient of variation (CV)	0.428925105
Kurtosis	0.2712862386
Mean	2.511627907
Median Absolute Deviation (MAD)	1
Skewness	-0.8103792536
Sum	108
Variance	1.160575858
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=5)

Value	Count	Frequency (%)
3	20	46.5%
2	10	23.3%
4	6	14.0%
1	4	9.3%
0	3	7.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3	7.0%
1	4	9.3%
2	10	23.3%
3	20	46.5%
4	6	14.0%

Value	Count	Frequency (%)
4	6	14.0%
3	20	46.5%
2	10	23.3%
1	4	9.3%
0	3	7.0%

Mood_bin
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Memory size	511.0 B

Good	26
Bad	17

Length

Max length	4
Median length	4
Mean length	3.604651163
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Bad
3rd row	Bad
4th row	Good
5th row	Good

Common Values

Value	Count	Frequency (%)
Good	26	60.5%
Bad	17	39.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
good	26	60.5%
bad	17	39.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Mood_bin_num
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.6046511628

Minimum	0
Maximum	1
Zeros	17
Zeros (%)	39.5%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.4947117912
Coefficient of variation (CV)	0.8181771932
Kurtosis	-1.893499614
Mean	0.6046511628
Median Absolute Deviation (MAD)	0
Skewness	-0.44371733
Sum	26
Variance	0.2447397564
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
1	26	60.5%
0	17	39.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	17	39.5%
1	26	60.5%

Value	Count	Frequency (%)
1	26	60.5%
0	17	39.5%

Time
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	39
Distinct (%)	90.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.12906977

Minimum	12.98333333
Maximum	23.25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	688.0 B

Quantile statistics

Minimum	12.98333333
5-th percentile	15.74
Q1	16.075
median	16.81666667
Q3	20.03333333
95-th percentile	22.91166667
Maximum	23.25
Range	10.26666667
Interquartile range (IQR)	3.958333333

Descriptive statistics

Standard deviation	2.829060955
Coefficient of variation (CV)	0.1560510821
Kurtosis	-0.7596181064
Mean	18.12906977
Median Absolute Deviation (MAD)	1.016666667
Skewness	0.5909996437
Sum	779.55
Variance	8.003585887
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
16	4	9.3%
16.06666667	2	4.7%
16.1	1	2.3%
23.18333333	1	2.3%
18.8	1	2.3%
18.73333333	1	2.3%
15.8	1	2.3%
15.73333333	1	2.3%
16.28333333	1	2.3%
17.81666667	1	2.3%
Other values (29)	29	67.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
12.98333333	1	2.3%
13.53333333	1	2.3%
15.73333333	1	2.3%
15.8	1	2.3%
15.93333333	1	2.3%
16	4	9.3%
16.06666667	2	4.7%
16.08333333	1	2.3%
16.1	1	2.3%
16.11666667	1	2.3%

Value	Count	Frequency (%)
23.25	1	2.3%
23.18333333	1	2.3%
22.91666667	1	2.3%
22.86666667	1	2.3%
22.76666667	1	2.3%
22.73333333	1	2.3%
22.71666667	1	2.3%
22.15	1	2.3%
21.75	1	2.3%
21	1	2.3%

Day
Categorical

HIGH CORRELATION
UNIFORM

Distinct	7
Distinct (%)	16.3%
Missing	0
Missing (%)	0.0%
Memory size	743.0 B

Friday	7
Monday	6
Tuesday	6
Wednesday	6
Thursday	6
Other values (2)	12

Length

Max length	9
Median length	7
Mean length	7.11627907
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Friday
2nd row	Saturday
3rd row	Sunday
4th row	Monday
5th row	Tuesday

Common Values

Value	Count	Frequency (%)
Friday	7	16.3%
Monday	6	14.0%
Tuesday	6	14.0%
Wednesday	6	14.0%
Thursday	6	14.0%
Saturday	6	14.0%
Sunday	6	14.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
friday	7	16.3%
monday	6	14.0%
tuesday	6	14.0%
wednesday	6	14.0%
thursday	6	14.0%
saturday	6	14.0%
sunday	6	14.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Entertainment
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.02325581395

Minimum	0
Maximum	1
Zeros	42
Zeros (%)	97.7%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	1
Range	1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.1524985703
Coefficient of variation (CV)	6.557438524
Kurtosis	43
Mean	0.02325581395
Median Absolute Deviation (MAD)	0
Skewness	6.557438524
Sum	1
Variance	0.02325581395
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	42	97.7%
1	1	2.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	42	97.7%
1	1	2.3%

Value	Count	Frequency (%)
1	1	2.3%
0	42	97.7%

Exercise
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2325581395

Minimum	0
Maximum	1
Zeros	33
Zeros (%)	76.7%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4274625744
Coefficient of variation (CV)	1.83808907
Kurtosis	-0.2936585366
Mean	0.2325581395
Median Absolute Deviation (MAD)	0
Skewness	1.312338538
Sum	10
Variance	0.1827242525
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	33	76.7%
1	10	23.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	33	76.7%
1	10	23.3%

Value	Count	Frequency (%)
1	10	23.3%
0	33	76.7%

Family
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2325581395

Minimum	0
Maximum	1
Zeros	33
Zeros (%)	76.7%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4274625744
Coefficient of variation (CV)	1.83808907
Kurtosis	-0.2936585366
Mean	0.2325581395
Median Absolute Deviation (MAD)	0
Skewness	1.312338538
Sum	10
Variance	0.1827242525
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	33	76.7%
1	10	23.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	33	76.7%
1	10	23.3%

Value	Count	Frequency (%)
1	10	23.3%
0	33	76.7%

Food
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1395348837

Minimum	0
Maximum	1
Zeros	37
Zeros (%)	86.0%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3506046036
Coefficient of variation (CV)	2.512666326
Kurtosis	2.777851022
Mean	0.1395348837
Median Absolute Deviation (MAD)	0
Skewness	2.156553432
Sum	6
Variance	0.122923588
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	37	86.0%
1	6	14.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	37	86.0%
1	6	14.0%

Value	Count	Frequency (%)
1	6	14.0%
0	37	86.0%

Friends
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.488372093

Minimum	0
Maximum	1
Zeros	22
Zeros (%)	51.2%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.5057805389
Coefficient of variation (CV)	1.035645865
Kurtosis	-2.097560976
Mean	0.488372093
Median Absolute Deviation (MAD)	0
Skewness	0.04822297821
Sum	21
Variance	0.2558139535
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	22	51.2%
1	21	48.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	22	51.2%
1	21	48.8%

Value	Count	Frequency (%)
1	21	48.8%
0	22	51.2%

Hobby
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.06976744186

Minimum	0
Maximum	1
Zeros	40
Zeros (%)	93.0%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0.9
Maximum	1
Range	1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2577696311
Coefficient of variation (CV)	3.694698046
Kurtosis	10.7552439
Mean	0.06976744186
Median Absolute Deviation (MAD)	0
Skewness	3.500951685
Sum	3
Variance	0.06644518272
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	40	93.0%
1	3	7.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	40	93.0%
1	3	7.0%

Value	Count	Frequency (%)
1	3	7.0%
0	40	93.0%

Love
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2093023256

Minimum	0
Maximum	1
Zeros	34
Zeros (%)	79.1%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4116250915
Coefficient of variation (CV)	1.966653215
Kurtosis	0.2015303682
Mean	0.2093023256
Median Absolute Deviation (MAD)	0
Skewness	1.481338505
Sum	9
Variance	0.1694352159
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	34	79.1%
1	9	20.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	34	79.1%
1	9	20.9%

Value	Count	Frequency (%)
1	9	20.9%
0	34	79.1%

NightOut
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.04651162791

Minimum	0
Maximum	1
Zeros	41
Zeros (%)	95.3%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	1
Range	1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2130826323
Coefficient of variation (CV)	4.581276595
Kurtosis	18.80130874
Mean	0.04651162791
Median Absolute Deviation (MAD)	0
Skewness	4.464087485
Sum	2
Variance	0.04540420819
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	41	95.3%
1	2	4.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	41	95.3%
1	2	4.7%

Value	Count	Frequency (%)
1	2	4.7%
0	41	95.3%

Projects
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2790697674

Minimum	0
Maximum	1
Zeros	31
Zeros (%)	72.1%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.4538502688
Coefficient of variation (CV)	1.626296796
Kurtosis	-1.006490952
Mean	0.2790697674
Median Absolute Deviation (MAD)	0
Skewness	1.021073834
Sum	12
Variance	0.2059800664
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	31	72.1%
1	12	27.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	31	72.1%
1	12	27.9%

Value	Count	Frequency (%)
1	12	27.9%
0	31	72.1%

School
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.6279069767

Minimum	0
Maximum	1
Zeros	16
Zeros (%)	37.2%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.4890834876
Coefficient of variation (CV)	0.7789107395
Kurtosis	-1.784383469
Mean	0.6279069767
Median Absolute Deviation (MAD)	0
Skewness	-0.5485621366
Sum	27
Variance	0.2392026578
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
1	27	62.8%
0	16	37.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	16	37.2%
1	27	62.8%

Value	Count	Frequency (%)
1	27	62.8%
0	16	37.2%

SelfCare
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.06976744186

Minimum	0
Maximum	1
Zeros	40
Zeros (%)	93.0%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0.9
Maximum	1
Range	1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2577696311
Coefficient of variation (CV)	3.694698046
Kurtosis	10.7552439
Mean	0.06976744186
Median Absolute Deviation (MAD)	0
Skewness	3.500951685
Sum	3
Variance	0.06644518272
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	40	93.0%
1	3	7.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	40	93.0%
1	3	7.0%

Value	Count	Frequency (%)
1	3	7.0%
0	40	93.0%

Sleep
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1395348837

Minimum	0
Maximum	1
Zeros	37
Zeros (%)	86.0%
Negative	0
Negative (%)	0.0%
Memory size	387.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3506046036
Coefficient of variation (CV)	2.512666326
Kurtosis	2.777851022
Mean	0.1395348837
Median Absolute Deviation (MAD)	0
Skewness	2.156553432
Sum	6
Variance	0.122923588
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	37	86.0%
1	6	14.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	37	86.0%
1	6	14.0%

Value	Count	Frequency (%)
1	6	14.0%
0	37	86.0%

CaffeineCups
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	2
Distinct (%)	6.2%
Missing	11
Missing (%)	25.6%
Infinite	0
Infinite (%)	0.0%
Mean	0.125

Minimum	0
Maximum	1
Zeros	28
Zeros (%)	65.1%
Negative	0
Negative (%)	0.0%
Memory size	688.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3360107525
Coefficient of variation (CV)	2.68808602
Kurtosis	3.909359606
Mean	0.125
Median Absolute Deviation (MAD)	0
Skewness	2.380876189
Sum	4
Variance	0.1129032258
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	28	65.1%
1	4	9.3%
(Missing)	11	25.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	28	65.1%
1	4	9.3%

Value	Count	Frequency (%)
1	4	9.3%
0	28	65.1%

AlcoholDrinks
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	4
Distinct (%)	12.5%
Missing	11
Missing (%)	25.6%
Infinite	0
Infinite (%)	0.0%
Mean	0.21875

Minimum	0
Maximum	3
Zeros	28
Zeros (%)	65.1%
Negative	0
Negative (%)	0.0%
Memory size	688.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1.45
Maximum	3
Range	3
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.659147788
Coefficient of variation (CV)	3.013247031
Kurtosis	11.35329182
Mean	0.21875
Median Absolute Deviation (MAD)	0
Skewness	3.343274964
Sum	7
Variance	0.4344758065
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=4)

Value	Count	Frequency (%)
0	28	65.1%
1	2	4.7%
3	1	2.3%
2	1	2.3%
(Missing)	11	25.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	28	65.1%
1	2	4.7%
2	1	2.3%
3	1	2.3%

Value	Count	Frequency (%)
3	1	2.3%
2	1	2.3%
1	2	4.7%
0	28	65.1%

Stress
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	15
Distinct (%)	46.9%
Missing	11
Missing (%)	25.6%
Infinite	0
Infinite (%)	0.0%
Mean	0.27125

Minimum	0
Maximum	0.84
Zeros	2
Zeros (%)	4.7%
Negative	0
Negative (%)	0.0%
Memory size	688.0 B

Quantile statistics

Minimum	0
5-th percentile	0.022
Q1	0.16
median	0.24
Q3	0.36
95-th percentile	0.574
Maximum	0.84
Range	0.84
Interquartile range (IQR)	0.2

Descriptive statistics

Standard deviation	0.1836502637
Coefficient of variation (CV)	0.6770516634
Kurtosis	1.843700082
Mean	0.27125
Median Absolute Deviation (MAD)	0.08
Skewness	1.129214894
Sum	8.68
Variance	0.03372741935
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
0.16	6	14.0%
0.24	6	14.0%
0.52	2	4.7%
0	2	4.7%
0.32	2	4.7%
0.28	2	4.7%
0.44	2	4.7%
0.12	2	4.7%
0.36	2	4.7%
0.64	1	2.3%
Other values (5)	5	11.6%
(Missing)	11	25.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	4.7%
0.04	1	2.3%
0.08	1	2.3%
0.12	2	4.7%
0.16	6	14.0%
0.2	1	2.3%
0.24	6	14.0%
0.28	2	4.7%
0.32	2	4.7%
0.36	2	4.7%

Value	Count	Frequency (%)
0.84	1	2.3%
0.64	1	2.3%
0.52	2	4.7%
0.44	2	4.7%
0.4	1	2.3%
0.36	2	4.7%
0.32	2	4.7%
0.28	2	4.7%
0.24	6	14.0%
0.2	1	2.3%

Sleepiness
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	50.0%
Missing	11
Missing (%)	25.6%
Infinite	0
Infinite (%)	0.0%
Mean	0.49625

Minimum	0.16
Maximum	0.88
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	688.0 B

Quantile statistics

Minimum	0.16
5-th percentile	0.182
Q1	0.4
median	0.46
Q3	0.6
95-th percentile	0.814
Maximum	0.88
Range	0.72
Interquartile range (IQR)	0.2

Descriptive statistics

Standard deviation	0.1819916694
Coefficient of variation (CV)	0.3667338427
Kurtosis	-0.05704363575
Mean	0.49625
Median Absolute Deviation (MAD)	0.1
Skewness	0.1960976692
Sum	15.88
Variance	0.03312096774
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0.44	5	11.6%
0.56	5	11.6%
0.4	4	9.3%
0.16	2	4.7%
0.68	2	4.7%
0.6	2	4.7%
0.36	2	4.7%
0.88	2	4.7%
0.48	1	2.3%
0.72	1	2.3%
Other values (6)	6	14.0%
(Missing)	11	25.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.16	2	4.7%
0.2	1	2.3%
0.28	1	2.3%
0.32	1	2.3%
0.36	2	4.7%
0.4	4	9.3%
0.44	5	11.6%
0.48	1	2.3%
0.52	1	2.3%
0.56	5	11.6%

Value	Count	Frequency (%)
0.88	2	4.7%
0.76	1	2.3%
0.72	1	2.3%
0.68	2	4.7%
0.64	1	2.3%
0.6	2	4.7%
0.56	5	11.6%
0.52	1	2.3%
0.48	1	2.3%
0.44	5	11.6%

PreviousNightMood
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	65.2%
Missing	20
Missing (%)	46.5%
Infinite	0
Infinite (%)	0.0%
Mean	15.91304348

Minimum	8
Maximum	24
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	688.0 B

Quantile statistics

Minimum	8
5-th percentile	9.2
Q1	13
median	15
Q3	18.5
95-th percentile	23.9
Maximum	24
Range	16
Interquartile range (IQR)	5.5

Descriptive statistics

Standard deviation	4.601512039
Coefficient of variation (CV)	0.2891660571
Kurtosis	-0.6499156583
Mean	15.91304348
Median Absolute Deviation (MAD)	3
Skewness	0.3094022038
Sum	366
Variance	21.17391304
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
15	3	7.0%
13	3	7.0%
11	2	4.7%
24	2	4.7%
17	2	4.7%
16	2	4.7%
8	1	2.3%
18	1	2.3%
12	1	2.3%
19	1	2.3%
Other values (5)	5	11.6%
(Missing)	20	46.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
8	1	2.3%
9	1	2.3%
11	2	4.7%
12	1	2.3%
13	3	7.0%
14	1	2.3%
15	3	7.0%
16	2	4.7%
17	2	4.7%
18	1	2.3%

Value	Count	Frequency (%)
24	2	4.7%
23	1	2.3%
22	1	2.3%
21	1	2.3%
19	1	2.3%
18	1	2.3%
17	2	4.7%
16	2	4.7%
15	3	7.0%
14	1	2.3%

Stress7DayRollingMean
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	28
Distinct (%)	87.5%
Missing	11
Missing (%)	25.6%
Infinite	0
Infinite (%)	0.0%
Mean	0.2947886905

Minimum	0.2171428571
Maximum	0.43
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	688.0 B

Quantile statistics

Minimum	0.2171428571
5-th percentile	0.2247142857
Q1	0.2557142857
median	0.2914285714
Q3	0.336
95-th percentile	0.3823
Maximum	0.43
Range	0.2128571429
Interquartile range (IQR)	0.08028571429

Descriptive statistics

Standard deviation	0.05291622186
Coefficient of variation (CV)	0.1795056037
Kurtosis	-0.05608070989
Mean	0.2947886905
Median Absolute Deviation (MAD)	0.04228571429
Skewness	0.6109719092
Sum	9.433238095
Variance	0.002800126536
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0.336	2	4.7%
0.2685714286	2	4.7%
0.2914285714	2	4.7%
0.3066666667	2	4.7%
0.2571428571	1	2.3%
0.2342857143	1	2.3%
0.2866666667	1	2.3%
0.3	1	2.3%
0.2666666667	1	2.3%
0.22	1	2.3%
Other values (18)	18	41.9%
(Missing)	11	25.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.2171428571	1	2.3%
0.22	1	2.3%
0.2285714286	1	2.3%
0.23	1	2.3%
0.2342857143	1	2.3%
0.24	1	2.3%
0.2466666667	1	2.3%
0.2514285714	1	2.3%
0.2571428571	1	2.3%
0.264	1	2.3%

Value	Count	Frequency (%)
0.43	1	2.3%
0.39	1	2.3%
0.376	1	2.3%
0.36	1	2.3%
0.3533333333	1	2.3%
0.35	1	2.3%
0.3466666667	1	2.3%
0.336	2	4.7%
0.3066666667	2	4.7%
0.3	1	2.3%

Sleepiness7DayRollingMean
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	31
Distinct (%)	96.9%
Missing	11
Missing (%)	25.6%
Infinite	0
Infinite (%)	0.0%
Mean	0.483139881

Minimum	0.3666666667
Maximum	0.6571428571
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	688.0 B

Quantile statistics

Minimum	0.3666666667
5-th percentile	0.3707857143
Q1	0.400952381
median	0.4564285714
Q3	0.5692857143
95-th percentile	0.6345142857
Maximum	0.6571428571
Range	0.2904761905
Interquartile range (IQR)	0.1683333333

Descriptive statistics

Standard deviation	0.09364009741
Coefficient of variation (CV)	0.1938157066
Kurtosis	-1.205218875
Mean	0.483139881
Median Absolute Deviation (MAD)	0.07442857143
Skewness	0.4198872044
Sum	15.46047619
Variance	0.008768467843
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0.3866666667	2	4.7%
0.5085714286	1	2.3%
0.6571428571	1	2.3%
0.6114285714	1	2.3%
0.5666666667	1	2.3%
0.6	1	2.3%
0.5533333333	1	2.3%
0.5	1	2.3%
0.448	1	2.3%
0.45	1	2.3%
Other values (21)	21	48.8%
(Missing)	11	25.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.3666666667	1	2.3%
0.37	1	2.3%
0.3714285714	1	2.3%
0.3733333333	1	2.3%
0.38	1	2.3%
0.384	1	2.3%
0.3866666667	2	4.7%
0.4057142857	1	2.3%
0.416	1	2.3%
0.424	1	2.3%

Value	Count	Frequency (%)
0.6571428571	1	2.3%
0.6571428571	1	2.3%
0.616	1	2.3%
0.6114285714	1	2.3%
0.6	1	2.3%
0.59	1	2.3%
0.58	1	2.3%
0.5771428571	1	2.3%
0.5666666667	1	2.3%
0.5657142857	1	2.3%

AtHome
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	2
Distinct (%)	4.8%
Missing	1
Missing (%)	2.3%
Infinite	0
Infinite (%)	0.0%
Mean	0.1666666667

Minimum	0
Maximum	1
Zeros	35
Zeros (%)	81.4%
Negative	0
Negative (%)	0.0%
Memory size	688.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3771954702
Coefficient of variation (CV)	2.263172821
Kurtosis	1.513846154
Mean	0.1666666667
Median Absolute Deviation (MAD)	0
Skewness	1.855801714
Sum	7
Variance	0.1422764228
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	35	81.4%
1	7	16.3%
(Missing)	1	2.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	35	81.4%
1	7	16.3%

Value	Count	Frequency (%)
1	7	16.3%
0	35	81.4%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Date	Mood	Mood_num	Mood_bin	Mood_bin_num	Time	Day	Entertainment	Exercise	Family	Food	Friends	Hobby	Love	Projects	School	SelfCare	Sleep	CaffeineCups	AlcoholDrinks	Stress	Sleepiness	PreviousNightMood	Stress7DayRollingMean	Sleepiness7DayRollingMean	AtHome
0	2022-09-30	Good	3	Good	1	16.100000	Friday	0	1	0	1	1	0	0	0	1	0	0	0.0	0.0	0.16	0.16	NaN	NaN	NaN	1.0
1	2022-10-01	Okay	2	Bad	0	16.200000	Saturday	0	0	0	0	0	0	0	0	1	0	0	0.0	0.0	0.24	0.44	NaN	NaN	NaN	1.0
2	2022-10-02	Bad	1	Bad	0	20.750000	Sunday	0	0	1	0	0	0	0	0	0	0	0	0.0	0.0	0.52	0.56	NaN	NaN	NaN	1.0
3	2022-10-03	Terrific	4	Good	1	18.350000	Monday	0	1	1	1	1	1	1	1	1	1	1	0.0	0.0	0.24	0.32	NaN	0.290000	0.370000	0.0
4	2022-10-04	Terrific	4	Good	1	22.733333	Tuesday	0	0	0	0	0	0	1	0	0	1	0	0.0	1.0	0.16	0.44	NaN	0.264000	0.384000	0.0
5	2022-10-05	Okay	2	Bad	0	22.150000	Wednesday	0	0	0	0	0	0	0	0	1	0	0	0.0	0.0	0.52	0.40	NaN	0.306667	0.386667	0.0
6	2022-10-06	Terrible	0	Bad	0	16.350000	Thursday	0	0	0	0	0	0	0	0	1	0	0	NaN	NaN	NaN	NaN	NaN	0.306667	0.386667	0.0
7	2022-10-07	Good	3	Good	1	17.316667	Friday	0	0	1	0	1	0	0	0	1	0	0	NaN	NaN	NaN	NaN	NaN	0.336000	0.432000	0.0
8	2022-10-08	Good	3	Good	1	18.866667	Saturday	0	0	1	0	0	0	0	0	0	1	0	1.0	0.0	0.24	0.40	NaN	0.336000	0.424000	1.0
9	2022-10-09	Bad	1	Bad	0	22.916667	Sunday	1	0	0	0	0	0	1	0	0	0	0	0.0	0.0	0.64	0.64	NaN	0.360000	0.440000	0.0

Last rows

	Date	Mood	Mood_num	Mood_bin	Mood_bin_num	Time	Day	Exercise	Family	Food	Friends	Love	Projects	School	Sleep	CaffeineCups	AlcoholDrinks	Stress	Sleepiness	PreviousNightMood	Stress7DayRollingMean	Sleepiness7DayRollingMean	AtHome
33	2022-11-02	Okay	2	Bad	0	16.816667	Wednesday	0	0	0	0	0	0	1	0	0.0	0.0	0.44	0.56	NaN	0.230000	0.450000	0.0
34	2022-11-03	Terrific	4	Good	1	18.833333	Thursday	1	1	0	1	1	0	1	0	1.0	0.0	0.28	0.44	16.0	0.240000	0.448000	0.0
35	2022-11-04	Good	3	Good	1	16.000000	Friday	1	1	0	1	1	0	1	0	0.0	2.0	0.12	0.76	11.0	0.220000	0.500000	0.0
36	2022-11-05	Terrible	0	Bad	0	13.533333	Saturday	0	0	0	0	1	0	0	0	0.0	0.0	0.36	0.68	22.0	0.266667	0.553333	1.0
37	2022-11-06	Okay	2	Bad	0	16.000000	Sunday	0	0	1	0	1	0	0	0	0.0	0.0	0.36	0.56	9.0	0.300000	0.600000	0.0
38	2022-11-07	Okay	2	Bad	0	16.400000	Monday	0	0	0	0	0	0	1	1	0.0	0.0	0.16	0.40	14.0	0.286667	0.566667	0.0
39	2022-11-08	Good	3	Good	1	16.116667	Tuesday	0	0	0	1	0	1	1	0	0.0	0.0	0.32	0.88	21.0	0.291429	0.611429	0.0
40	2022-11-09	Terrific	4	Good	1	21.750000	Wednesday	1	0	0	1	0	1	1	0	0.0	0.0	0.04	0.88	15.0	0.234286	0.657143	0.0
41	2022-11-10	Good	3	Good	1	17.783333	Thursday	0	0	0	1	0	1	0	0	0.0	1.0	0.16	0.44	24.0	0.217143	0.657143	0.0
42	2022-11-11	Good	3	Good	1	16.550000	Friday	0	0	0	0	1	0	0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows